Spectral clustering and embedding-enhanced POI recommendation in location-based social network
In order to effectively capture the spatial characteristics of multi-dimensional context information in LBSN,and deeply explore the non-linear interaction between users and POIs,a spectral embedding enhanced POI recommendation algorithm,namely PSC-SMLP,was proposed.A preference enhanced spectral clu...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2020-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020053/ |
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| _version_ | 1841539392999522304 |
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| author | Zhen LIU Na’na WANG Xiaodong WANG Yongqi SUN |
| author_facet | Zhen LIU Na’na WANG Xiaodong WANG Yongqi SUN |
| author_sort | Zhen LIU |
| collection | DOAJ |
| description | In order to effectively capture the spatial characteristics of multi-dimensional context information in LBSN,and deeply explore the non-linear interaction between users and POIs,a spectral embedding enhanced POI recommendation algorithm,namely PSC-SMLP,was proposed.A preference enhanced spectral clustering algorithm (PSC) and a novel spectral embedded enhanced neural network (SMLP) was designed to solve the above problems.Compared with state-of-the-art algorithms on two datasets,PSC-SMLP has better performance in terms of the precision,recall,nDCG and mean average precision. |
| format | Article |
| id | doaj-art-f062a8e79da345bf8c7148c0679d591a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f062a8e79da345bf8c7148c0679d591a2025-01-14T07:18:50ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-03-014119720659733989Spectral clustering and embedding-enhanced POI recommendation in location-based social networkZhen LIUNa’na WANGXiaodong WANGYongqi SUNIn order to effectively capture the spatial characteristics of multi-dimensional context information in LBSN,and deeply explore the non-linear interaction between users and POIs,a spectral embedding enhanced POI recommendation algorithm,namely PSC-SMLP,was proposed.A preference enhanced spectral clustering algorithm (PSC) and a novel spectral embedded enhanced neural network (SMLP) was designed to solve the above problems.Compared with state-of-the-art algorithms on two datasets,PSC-SMLP has better performance in terms of the precision,recall,nDCG and mean average precision.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020053/location-based social networkPOI recommendationspectral clusteringspectral embeddingneural network |
| spellingShingle | Zhen LIU Na’na WANG Xiaodong WANG Yongqi SUN Spectral clustering and embedding-enhanced POI recommendation in location-based social network Tongxin xuebao location-based social network POI recommendation spectral clustering spectral embedding neural network |
| title | Spectral clustering and embedding-enhanced POI recommendation in location-based social network |
| title_full | Spectral clustering and embedding-enhanced POI recommendation in location-based social network |
| title_fullStr | Spectral clustering and embedding-enhanced POI recommendation in location-based social network |
| title_full_unstemmed | Spectral clustering and embedding-enhanced POI recommendation in location-based social network |
| title_short | Spectral clustering and embedding-enhanced POI recommendation in location-based social network |
| title_sort | spectral clustering and embedding enhanced poi recommendation in location based social network |
| topic | location-based social network POI recommendation spectral clustering spectral embedding neural network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020053/ |
| work_keys_str_mv | AT zhenliu spectralclusteringandembeddingenhancedpoirecommendationinlocationbasedsocialnetwork AT nanawang spectralclusteringandembeddingenhancedpoirecommendationinlocationbasedsocialnetwork AT xiaodongwang spectralclusteringandembeddingenhancedpoirecommendationinlocationbasedsocialnetwork AT yongqisun spectralclusteringandembeddingenhancedpoirecommendationinlocationbasedsocialnetwork |